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Deng P, Li J, Lu Y, Hao R, He M, Li M, Tan M, Gao P, Wang L, Hong H, Tao J, Lu M, Chen C, Ma Q, Yue Y, Wang H, Tian L, Xie J, Chen M, Luo Y, Yu Z, Zhou Z, Pi H. Chronic cadmium exposure triggered ferroptosis by perturbing the STEAP3-mediated glutathione redox balance linked to altered metabolomic signatures in humans. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 905:167039. [PMID: 37716689 DOI: 10.1016/j.scitotenv.2023.167039] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 09/07/2023] [Accepted: 09/11/2023] [Indexed: 09/18/2023]
Abstract
Cadmium (Cd), a predominant environmental pollutant, is a canonical toxicant that acts on the kidneys. However, the nephrotoxic effect and underlying mechanism activated by chronic exposure to Cd remain unclear. In the present study, male mice (C57BL/6J, 8 weeks) were treated with 0.6 mg/L cadmium chloride (CdCl2) administered orally for 6 months, and tubular epithelial cells (TCMK-1 cells) were treated with low-dose (1, 2, and 3 μM) CdCl2 for 72 h (h). Our study results revealed that environmental Cd exposure triggered ferroptosis and renal dysfunction. Spatially resolved metabolomics enabled delineation of metabolic profiles and visualization of the disruption to glutathione homeostasis related to ferroptosis in mouse kidneys. Multiomics analysis revealed that chronic Cd exposure induced glutathione redox imbalance that depended on STEAP3-driven lysosomal iron overload. In particular, glutathione metabolic reprogramming linked to ferroptosis emerged as a metabolic hallmark in the blood of Cd-exposed workers. In conclusion, this study provides the first evidence indicating that chronic Cd exposure triggers ferroptosis and renal dysfunction that depend on STEAP3-mediated glutathione redox imbalance, greatly increasing our understanding of the metabolic reprogramming induced by Cd exposure in the kidneys and providing novel clues linking chronic Cd exposure to nephrotoxicity.
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Affiliation(s)
- Ping Deng
- Department of Occupational Health (Key Laboratory of Electromagnetic Radiation Protection, Ministry of Education), Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Jingdian Li
- Department of Occupational Health (Key Laboratory of Electromagnetic Radiation Protection, Ministry of Education), Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Yonghui Lu
- Department of Occupational Health (Key Laboratory of Electromagnetic Radiation Protection, Ministry of Education), Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Rongrong Hao
- Department of Occupational Health (Key Laboratory of Electromagnetic Radiation Protection, Ministry of Education), Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Mindi He
- Department of Occupational Health (Key Laboratory of Electromagnetic Radiation Protection, Ministry of Education), Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Min Li
- Department of Occupational Health (Key Laboratory of Electromagnetic Radiation Protection, Ministry of Education), Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Miduo Tan
- Department of Breast Surgery, Central Hospital of Zhuzhou City, Central South University, Zhuzhou 412000, Hunan, China
| | - Peng Gao
- Department of Occupational Health (Key Laboratory of Electromagnetic Radiation Protection, Ministry of Education), Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Liting Wang
- Biomedical Analysis Center, Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Huihui Hong
- Center for Neurointelligence, School of Medicine, Chongqing University, Chongqing 400030, China; Department of Environmental Medicine, School of Public Health, and Department of Emergency Medicine, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310058, China
| | - Jiawen Tao
- Department of Occupational Health (Key Laboratory of Electromagnetic Radiation Protection, Ministry of Education), Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Muxue Lu
- School of Medicine, Guangxi University, Nanning 530004, Guangxi, China
| | - Chunhai Chen
- Department of Occupational Health (Key Laboratory of Electromagnetic Radiation Protection, Ministry of Education), Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Qinlong Ma
- Department of Occupational Health (Key Laboratory of Electromagnetic Radiation Protection, Ministry of Education), Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Yang Yue
- Department of Occupational Health (Key Laboratory of Electromagnetic Radiation Protection, Ministry of Education), Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Hui Wang
- Department of Occupational Health (Key Laboratory of Electromagnetic Radiation Protection, Ministry of Education), Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Li Tian
- Department of Occupational Health (Key Laboratory of Electromagnetic Radiation Protection, Ministry of Education), Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Jia Xie
- Department of Occupational Health (Key Laboratory of Electromagnetic Radiation Protection, Ministry of Education), Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Mengyan Chen
- Department of Occupational Health (Key Laboratory of Electromagnetic Radiation Protection, Ministry of Education), Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Yan Luo
- Department of Occupational Health (Key Laboratory of Electromagnetic Radiation Protection, Ministry of Education), Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Zhengping Yu
- Department of Occupational Health (Key Laboratory of Electromagnetic Radiation Protection, Ministry of Education), Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Zhou Zhou
- Center for Neurointelligence, School of Medicine, Chongqing University, Chongqing 400030, China.
| | - Huifeng Pi
- Department of Occupational Health (Key Laboratory of Electromagnetic Radiation Protection, Ministry of Education), Army Medical University (Third Military Medical University), Chongqing 400038, China; State key Laboratory Of Trauma and Chemical Poisoning, Army Medical University (Third Military Medical University), Chongqing 400038, China.
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Wong A. High-resolution magic-angle spinning NMR metabolic profiling with spatially localized spectroscopy under slow sample spinning. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2023; 15:6302-6308. [PMID: 37965882 DOI: 10.1039/d3ay01812a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2023]
Abstract
Owing to its feasibility and versatility, High-Resolution Magic-Angle Spinning (HRMAS) NMR spectroscopy is considered an essential analytical technique in metabolomics for assessing the biochemical composition of tissue samples. Localized profiling with HRMAS has recently emerged and shown promise for spatial resolution of metabolic profiles within the sampling tissues. However, the requisite sample spinning in a few kHz can perturb the tissues spatially and morphologically. This study explored a simple approach to slow sample spinning experiments at 500 Hz without needing pulse-assist sideband suppression experiments to acquire localized spectral data. Slow-spinning localized one-and two-dimensional spectroscopy, including Total Correlation Spectroscopy (TOCSY), were explored on soft tissues for metabolic profiling. We also examined inhomogeneous radiofrequency B1 field distribution across the sampling volume, which can affect the quantification analysis.
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Affiliation(s)
- Alan Wong
- NIMBE, CEA, CNRS, Université Paris-Saclay, CEA Saclay, 91191 Gif-sur-Yvette, France.
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Solana-Manrique C, Sanz FJ, Torregrosa I, Palomino-Schätzlein M, Hernández-Oliver C, Pineda-Lucena A, Paricio N. Metabolic Alterations in a Drosophila Model of Parkinson's Disease Based on DJ-1 Deficiency. Cells 2022; 11:cells11030331. [PMID: 35159141 PMCID: PMC8834223 DOI: 10.3390/cells11030331] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 01/14/2022] [Accepted: 01/17/2022] [Indexed: 12/13/2022] Open
Abstract
Parkinson’s disease (PD) is the second-most common neurodegenerative disorder, whose physiopathology is still unclear. Moreover, there is an urgent need to discover new biomarkers and therapeutic targets to facilitate its diagnosis and treatment. Previous studies performed in PD models and samples from PD patients already demonstrated that metabolic alterations are associated with this disease. In this context, the aim of this study is to provide a better understanding of metabolic disturbances underlying PD pathogenesis. To achieve this goal, we used a Drosophila PD model based on inactivation of the DJ-1β gene (ortholog of human DJ-1). Metabolomic analyses were performed in 1-day-old and 15-day-old DJ-1β mutants and control flies using 1H nuclear magnetic resonance spectroscopy, combined with expression and enzymatic activity assays of proteins implicated in altered pathways. Our results showed that the PD model flies exhibited protein metabolism alterations, a shift fromthe tricarboxylic acid cycle to glycolytic pathway to obtain ATP, together with an increase in the expression of some urea cycle enzymes. Thus, these metabolic changes could contribute to PD pathogenesis and might constitute possible therapeutic targets and/or biomarkers for this disease.
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Affiliation(s)
- Cristina Solana-Manrique
- Departamento de Genética, Facultad CC Biológicas, Instituto Universitario de Biotecnología y Biomedicina (BIOTECMED), Universidad de Valencia, 46100 Burjassot, Spain; (C.S.-M.); (F.J.S.); (I.T.)
| | - Francisco José Sanz
- Departamento de Genética, Facultad CC Biológicas, Instituto Universitario de Biotecnología y Biomedicina (BIOTECMED), Universidad de Valencia, 46100 Burjassot, Spain; (C.S.-M.); (F.J.S.); (I.T.)
| | - Isabel Torregrosa
- Departamento de Genética, Facultad CC Biológicas, Instituto Universitario de Biotecnología y Biomedicina (BIOTECMED), Universidad de Valencia, 46100 Burjassot, Spain; (C.S.-M.); (F.J.S.); (I.T.)
| | | | - Carolina Hernández-Oliver
- Instituto de Investigación Sanitaria La Fe, Hospital Universitario y Politécnico La Fe, 46026 Valencia, Spain; (C.H.-O.); (A.P.-L.)
| | - Antonio Pineda-Lucena
- Instituto de Investigación Sanitaria La Fe, Hospital Universitario y Politécnico La Fe, 46026 Valencia, Spain; (C.H.-O.); (A.P.-L.)
- Programa de Terapias Moleculares, Centro de Investigación Médica Aplicada, Universidad de Navarra, 31008 Pamplona, Spain
| | - Nuria Paricio
- Departamento de Genética, Facultad CC Biológicas, Instituto Universitario de Biotecnología y Biomedicina (BIOTECMED), Universidad de Valencia, 46100 Burjassot, Spain; (C.S.-M.); (F.J.S.); (I.T.)
- Correspondence: ; Tel.: +34-96-354-3005; Fax: +34-96-354-3029
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Maravat M, Bertrand M, Landon C, Fayon F, Morisset-Lopez S, Sarou-Kanian V, Decoville M. Complementary Nuclear Magnetic Resonance-Based Metabolomics Approaches for Glioma Biomarker Identification in a Drosophila melanogaster Model. J Proteome Res 2021; 20:3977-3991. [PMID: 34286978 DOI: 10.1021/acs.jproteome.1c00304] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Human malignant gliomas are the most common type of primary brain tumor. Composed of glial cells and their precursors, they are aggressive and highly invasive, leading to a poor prognosis. Due to the difficulty of surgically removing tumors and their resistance to treatments, novel therapeutic approaches are needed to improve patient life expectancy and comfort. Drosophila melanogaster is a compelling genetic model to better understanding human neurological diseases owing to its high conservation in signaling pathways and cellular content of the brain. Here, glioma has been induced in Drosophila by co-activating the epidermal growth factor receptor and the phosphatidyl-inositol-3 kinase signaling pathways. Complementary nuclear magnetic resonance (NMR) techniques were used to obtain metabolic profiles in the third instar larvae brains. Fresh organs were directly studied by 1H high resolution-magic angle spinning (HR-MAS) NMR, and brain extracts were analyzed by solution-state 1H-NMR. Statistical analyses revealed differential metabolic signatures, impacted metabolic pathways, and glioma biomarkers. Each method was efficient to determine biomarkers. The highlighted metabolites including glucose, myo-inositol, sarcosine, glycine, alanine, and pyruvate for solution-state NMR and proline, myo-inositol, acetate, and glucose for HR-MAS show very good performances in discriminating samples according to their nature with data mining based on receiver operating characteristic curves. Combining results allows for a more complete view of induced disturbances and opens the possibility of deciphering the biochemical mechanisms of these tumors. The identified biomarkers provide a means to rebalance specific pathways through targeted metabolic therapy and to study the effects of pharmacological treatments using Drosophila as a model organism.
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Affiliation(s)
- Marion Maravat
- CNRS, CEMHTI UPR3079, Université d'Orléans, F-45071 Orléans, France
| | | | - Céline Landon
- CNRS, CBM UPR4301, Université d'Orléans, F-45071 Orléans, France
| | - Franck Fayon
- CNRS, CEMHTI UPR3079, Université d'Orléans, F-45071 Orléans, France
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